AI Driven Sentiment Analysis Workflow for Video Interviews

Sentiment Analysis of Video Interview Recordings

1. Preparation Phase

1.1 Define Objectives

Establish the goals for sentiment analysis, such as improving candidate experience or enhancing hiring decisions.

1.2 Select AI Tools

Choose appropriate AI-driven tools for video analysis. Examples include:

• HireVue: Offers AI-driven video interviewing and assessment tools.
• Interviewing.io: Provides a platform for mock interviews with AI feedback.
• Crystal: Analyzes personality traits based on communication styles.

2. Data Collection

2.1 Record Video Interviews

Utilize video conferencing tools like Zoom or Microsoft Teams to conduct interviews and record them for analysis.

2.2 Store Data Securely

Ensure all video recordings are stored in a secure cloud platform, such as AWS or Google Cloud, with proper access controls.

3. Data Processing

3.1 Transcription

Employ AI transcription services, such as Otter.ai or Rev.ai, to convert video interviews into text format for easier analysis.

3.2 Sentiment Analysis

Utilize Natural Language Processing (NLP) tools like IBM Watson Natural Language Understanding or Google Cloud Natural Language API to analyze the transcribed text for sentiment.

4. Analysis and Reporting

4.1 Generate Insights

Use data visualization tools such as Tableau or Power BI to create visual reports that highlight sentiment trends and patterns.

4.2 Review Findings

Conduct a review meeting with HR stakeholders to discuss insights derived from the sentiment analysis and their implications for recruitment strategies.

5. Implementation of Findings

5.1 Adjust Interview Techniques

Based on the analysis, refine interview questions and techniques to enhance candidate engagement and reduce negative sentiment.

5.2 Continuous Monitoring

Implement a feedback loop where ongoing sentiment analysis is conducted on future interviews to track improvements and adapt strategies accordingly.

6. Evaluation of AI Tools

6.1 Assess Tool Effectiveness

Regularly evaluate the performance of AI tools used in the sentiment analysis process to ensure they meet organizational needs.

6.2 Update Tools as Necessary

Stay informed about advancements in AI technology and update tools to leverage new capabilities for enhanced analysis.